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Topological Autoencoders
v1v2v3v4v5 (latest)

Topological Autoencoders

3 June 2019
Michael Moor
Max Horn
Bastian Rieck
Karsten Borgwardt
ArXiv (abs)PDFHTML

Papers citing "Topological Autoencoders"

16 / 16 papers shown
Title
Directional Sign Loss: A Topology-Preserving Loss Function that Approximates the Sign of Finite Differences
Directional Sign Loss: A Topology-Preserving Loss Function that Approximates the Sign of Finite Differences
Harvey Dam
Tripti Agarwal
Ganesh Gopalakrishnan
75
0
0
05 Apr 2025
Improving Deep Regression with Tightness
Improving Deep Regression with Tightness
Shihao Zhang
Yuguang Yan
Angela Yao
OOD
136
0
0
13 Feb 2025
Structure-preserving contrastive learning for spatial time series
Structure-preserving contrastive learning for spatial time series
Yiru Jiao
Sander van Cranenburgh
Simeon C. Calvert
H. Lint
AI4TS
146
0
0
10 Feb 2025
Revisiting Point Cloud Completion: Are We Ready For The Real-World?
Revisiting Point Cloud Completion: Are We Ready For The Real-World?
Stuti Pathak
Prashant Kumar
Nicholus Mboga
Gunther Steenackers
R. Penne
Rudi Penne
444
0
0
26 Nov 2024
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
I. Butakov
Alexander Sememenko
Alexander Tolmachev
Andrey Gladkov
Marina Munkhoeva
Alexey Frolov
135
1
0
09 Oct 2024
Relative Representations: Topological and Geometric Perspectives
Relative Representations: Topological and Geometric Perspectives
Alejandro García-Castellanos
Giovanni Luca Marchetti
Danica Kragic
Martina Scolamiero
81
1
0
17 Sep 2024
Connectivity-Optimized Representation Learning via Persistent Homology
Connectivity-Optimized Representation Learning via Persistent Homology
Christoph Hofer
Roland Kwitt
Mandar Dixit
Marc Niethammer
60
77
0
21 Jun 2019
Neural Persistence: A Complexity Measure for Deep Neural Networks Using
  Algebraic Topology
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
Bastian Rieck
Matteo Togninalli
Christian Bock
Michael Moor
Max Horn
Thomas Gumbsch
Karsten Borgwardt
66
111
0
23 Dec 2018
A Topological Regularizer for Classifiers via Persistent Homology
A Topological Regularizer for Classifiers via Persistent Homology
Chao Chen
Xiuyan Ni
Qinxun Bai
Yusu Wang
74
112
0
27 Jun 2018
Topological Data Analysis of Decision Boundaries with Application to
  Model Selection
Topological Data Analysis of Decision Boundaries with Application to Model Selection
Karthikeyan N. Ramamurthy
Kush R. Varshney
Krishnan Mody
46
40
0
25 May 2018
On Characterizing the Capacity of Neural Networks using Algebraic
  Topology
On Characterizing the Capacity of Neural Networks using Algebraic Topology
William H. Guss
Ruslan Salakhutdinov
73
90
0
13 Feb 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
160
9,432
0
09 Feb 2018
Deep Learning with Topological Signatures
Deep Learning with Topological Signatures
Christoph Hofer
Roland Kwitt
Marc Niethammer
A. Uhl
3DPC
62
244
0
13 Jul 2017
Deep Sets
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
408
2,464
0
10 Mar 2017
A Stable Multi-Scale Kernel for Topological Machine Learning
A Stable Multi-Scale Kernel for Topological Machine Learning
Jan Reininghaus
Stefan Huber
Ulrich Bauer
Roland Kwitt
62
346
0
21 Dec 2014
Testing the Manifold Hypothesis
Testing the Manifold Hypothesis
Charles Fefferman
S. Mitter
Hariharan Narayanan
151
534
0
01 Oct 2013
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